[ { "key": "KKXMLAJH", "version": 197, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/KKXMLAJH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/KKXMLAJH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Crandall et al.", "parsedDate": "2008", "numChildren": 1 }, "data": { "key": "KKXMLAJH", "version": 197, "itemType": "conferencePaper", "title": "Feedback effects between similarity and social influence in online communities", "creators": [ { "creatorType": "author", "firstName": "David", "lastName": "Crandall" }, { "creatorType": "author", "firstName": "Dan", "lastName": "Cosley" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Huttenlocher" }, { "creatorType": "author", "firstName": "Jon", "lastName": "Kleinberg" }, { "creatorType": "author", "firstName": "Siddharth", "lastName": "Suri" } ], "abstractNote": "", "proceedingsTitle": "Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08", "conferenceName": "the 14th ACM SIGKDD international conference", "publisher": "ACM Press", "place": "Las Vegas, Nevada, USA", "date": "2008", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "160", "series": "", "seriesNumber": "", "DOI": "10.1145/1401890.1401914", "ISBN": "978-1-60558-193-4", "citationKey": "crandallFeedbackEffectsSimilarity2008b", "url": "http://dl.acm.org/citation.cfm?doid=1401890.1401914", "accessDate": "2021-11-02T05:23:21Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "DOI.org (Crossref)", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2021-11-02T05:23:21Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "A8ERRTBB", "version": 197, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/A8ERRTBB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/A8ERRTBB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Mackenzie", "parsedDate": "2000-01-01", "numChildren": 2 }, "data": { "key": "A8ERRTBB", "version": 197, "itemType": "journalArticle", "title": "Processes and Their Frameworks", "creators": [ { "creatorType": "author", "firstName": "Kenneth D.", "lastName": "Mackenzie" } ], "abstractNote": "A process is a time-dependent sequence of events governed by a process framework. A group process has five components: the entities performing the process, the steps or elements of a process, the relationship between any pair of elements, the links to other processes, and the resources and their characteristics-in-use involved with the elements. A process framework is denoted by Y = F(C) where Y is the set of outcomes or consequences of a process, C is the set of considerations or elements in the process, and F is the network linking the considerations to each other and to the outcomes. The properties of the set of considerations, the linkages between pairs of consequences, the set of outcomes or consequences, the network, F, and the use of process frameworks are discussed in detail with examples. Process models are compared to variable models.", "publicationTitle": "Management Science", "publisher": "", "place": "", "date": "January 1, 2000", "volume": "46", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "110-125", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Management Science", "DOI": "10.1287/mnsc.46.1.110.15126", "citationKey": "mackenzieProcessesTheirFrameworks2000", "url": "http://pubsonline.informs.org.ezproxy.neu.edu/doi/abs/10.1287/mnsc.46.1.110.15126", "accessDate": "2014-07-06T01:27:07Z", "PMID": "", "PMCID": "", "ISSN": "0025-1909", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "pubsonline.informs.org.ezproxy.neu.edu (Atypon)", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "C5W4RJVA" ], "relations": {}, "dateAdded": "2014-07-06T01:27:07Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "B8V6HI9B", "version": 197, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/B8V6HI9B", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/B8V6HI9B", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Lin et al.", "parsedDate": "2013-10-22", "numChildren": 2 }, "data": { "key": "B8V6HI9B", "version": 197, "itemType": "journalArticle", "title": "Research Commentary—Too Big to Fail: Large Samples and the p-Value Problem", "creators": [ { "creatorType": "author", "firstName": "Mingfeng", "lastName": "Lin" }, { "creatorType": "author", "firstName": "Henry C.", "lastName": "Lucas" }, { "creatorType": "author", "firstName": "Galit", "lastName": "Shmueli" } ], "abstractNote": "The Internet has provided IS researchers with the opportunity to conduct studies with extremely large samples, frequently well over 10,000 observations. There are many advantages to large samples, but researchers using statistical inference must be aware of the p-value problem associated with them. In very large samples, p-values go quickly to zero, and solely relying on p-values can lead the researcher to claim support for results of no practical significance. In a survey of large sample IS research, we found that a significant number of papers rely on a low p-value and the sign of a regression coefficient alone to support their hypotheses. This research commentary recommends a series of actions the researcher can take to mitigate the p-value problem in large samples and illustrates them with an example of over 300,000 camera sales on eBay. We believe that addressing the p-value problem will increase the credibility of large sample IS research as well as provide more insights for readers.", "publicationTitle": "Information Systems Research", "publisher": "", "place": "", "date": "October 22, 2013", "volume": "24", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "906-917", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Information Systems Research", "DOI": "10.1287/isre.2013.0480", "citationKey": "linResearchCommentaryToo2013", "url": "http://pubsonline.informs.org.ezproxy.neu.edu/doi/abs/10.1287/isre.2013.0480", "accessDate": "2014-07-06T01:21:15Z", "PMID": "", "PMCID": "", "ISSN": "1047-7047", "archive": "", "archiveLocation": "", "shortTitle": "Research Commentary—Too Big to Fail", "language": "", "libraryCatalog": "pubsonline.informs.org.ezproxy.neu.edu (Atypon)", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "C5W4RJVA" ], "relations": {}, "dateAdded": "2014-07-06T01:21:15Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "Z48TMUG7", "version": 197, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/Z48TMUG7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/Z48TMUG7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Grobelnik and Shawe-Taylor", "numChildren": 1 }, "data": { "key": "Z48TMUG7", "version": 197, "itemType": "journalArticle", "title": "Machine Learning and Knowledge Discovery in Databases", "creators": [ { "creatorType": "author", "firstName": "Wray Buntine Marko", "lastName": "Grobelnik" }, { "creatorType": "author", "firstName": "Dunja Mladenic John", "lastName": "Shawe-Taylor" } ], "abstractNote": "", "publicationTitle": "", "publisher": "", "place": "", "date": "", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "grobelnikMachineLearningKnowledge", "url": "http://link.springer.com/content/pdf/10.1007/978-3-642-04180-8.pdf", "accessDate": "2014-02-12T02:50:04Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "4Z5MPBC5" ], "relations": {}, "dateAdded": "2014-06-02T20:24:15Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "TA3JKUCT", "version": 197, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/TA3JKUCT", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/TA3JKUCT", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Malmgren et al.", "parsedDate": "2008", "numChildren": 1 }, "data": { "key": "TA3JKUCT", "version": 197, "itemType": "journalArticle", "title": "A Poissonian explanation for heavy tails in e-mail communication", "creators": [ { "creatorType": "author", "firstName": "R. Dean", "lastName": "Malmgren" }, { "creatorType": "author", "firstName": "Daniel B.", "lastName": "Stouffer" }, { "creatorType": "author", "firstName": "Adilson E.", "lastName": "Motter" }, { "creatorType": "author", "firstName": "Luís AN", "lastName": "Amaral" } ], "abstractNote": "", "publicationTitle": "Proceedings of the National Academy of Sciences", "publisher": "", "place": "", "date": "2008", "volume": "105", "issue": "47", "section": "", "partNumber": "", "partTitle": "", "pages": "18153–18158", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "malmgrenPoissonianExplanationHeavy2008", "url": "http://www.pnas.org/content/105/47/18153.short", "accessDate": "2014-02-12T02:50:01Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "4Z5MPBC5" ], "relations": {}, "dateAdded": "2014-06-02T20:24:15Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "5X32NDN6", "version": 197, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/5X32NDN6", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/5X32NDN6", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Leskovec et al.", "parsedDate": "2008", "numChildren": 1 }, "data": { "key": "5X32NDN6", "version": 197, "itemType": "conferencePaper", "title": "Microscopic evolution of social networks", "creators": [ { "creatorType": "author", "firstName": "Jure", "lastName": "Leskovec" }, { "creatorType": "author", "firstName": "Lars", "lastName": "Backstrom" }, { "creatorType": "author", "firstName": "Ravi", "lastName": "Kumar" }, { "creatorType": "author", "firstName": "Andrew", "lastName": "Tomkins" } ], "abstractNote": "", "proceedingsTitle": "Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining", "conferenceName": "", "publisher": "ACM", "place": "", "date": "2008", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "462–470", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "leskovecMicroscopicEvolutionSocial2008", "url": "http://dl.acm.org/citation.cfm?id=1401948", "accessDate": "2014-02-12T02:49:58Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "4Z5MPBC5" ], "relations": {}, "dateAdded": "2014-06-02T20:24:15Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "7J43R7JM", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/7J43R7JM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/7J43R7JM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Navarro et al.", "parsedDate": "2014-06-16", "numChildren": 1 }, "data": { "key": "7J43R7JM", "version": 196, "itemType": "journalArticle", "title": "A Node Linkage Approach for Sequential Pattern Mining", "creators": [ { "creatorType": "author", "firstName": "Osvaldo", "lastName": "Navarro" }, { "creatorType": "author", "firstName": "René", "lastName": "Cumplido" }, { "creatorType": "author", "firstName": "Luis", "lastName": "Villaseñor-Pineda" }, { "creatorType": "author", "firstName": "Claudia", "lastName": "Feregrino-Uribe" }, { "creatorType": "author", "firstName": "Jesús Ariel", "lastName": "Carrasco-Ochoa" } ], "abstractNote": "Sequential Pattern Mining is a widely addressed problem in data mining, with applications such as analyzing Web usage, examining purchase behavior, and text mining, among others. Nevertheless, with the dramatic increase in data volume, the current approaches prove inefficient when dealing with large input datasets, a large number of different symbols and low minimum supports. In this paper, we propose a new sequential pattern mining algorithm, which follows a pattern-growth scheme to discover sequential patterns. Unlike most pattern growth algorithms, our approach does not build a data structure to represent the input dataset, but instead accesses the required sequences through pseudo-projection databases, achieving better runtime and reducing memory requirements. Our algorithm traverses the search space in a depth-first fashion and only preserves in memory a pattern node linkage and the pseudo-projections required for the branch being explored at the time. Experimental results show that our new approach, the Node Linkage Depth-First Traversal algorithm (NLDFT), has better performance and scalability in comparison with state of the art algorithms.", "publicationTitle": "PLoS ONE", "publisher": "", "place": "", "date": "June 16, 2014", "volume": "9", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "e95418", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "PLoS ONE", "DOI": "10.1371/journal.pone.0095418", "citationKey": "navarroNodeLinkageApproach2014", "url": "http://dx.doi.org/10.1371/journal.pone.0095418", "accessDate": "2014-10-14T14:48:53Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "PLoS Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "HMW6ZPIP" ], "relations": {}, "dateAdded": "2014-10-14T14:48:53Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "XMVZHTSQ", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/XMVZHTSQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/XMVZHTSQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Abbott", "parsedDate": "1984-10-01", "numChildren": 1 }, "data": { "key": "XMVZHTSQ", "version": 196, "itemType": "journalArticle", "title": "Event Sequence and Event Duration: Colligation and Measurement", "creators": [ { "creatorType": "author", "firstName": "Andrew", "lastName": "Abbott" } ], "abstractNote": "", "publicationTitle": "Historical Methods: A Journal of Quantitative and Interdisciplinary History", "publisher": "", "place": "", "date": "October 1, 1984", "volume": "17", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "192-204", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/01615440.1984.10594134", "citationKey": "abbottEventSequenceEvent1984", "url": "http://dx.doi.org/10.1080/01615440.1984.10594134", "accessDate": "2014-09-09T14:35:26Z", "PMID": "", "PMCID": "", "ISSN": "0161-5440", "archive": "", "archiveLocation": "", "shortTitle": "Event Sequence and Event Duration", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "QBUEGZG8" ], "relations": {}, "dateAdded": "2014-09-09T14:35:26Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "FFZIR4EB", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/FFZIR4EB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/FFZIR4EB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Abbott", "parsedDate": "1983-10-01", "numChildren": 2 }, "data": { "key": "FFZIR4EB", "version": 196, "itemType": "journalArticle", "title": "Sequences of Social Events: Concepts and Methods for the Analysis of Order in Social Processes", "creators": [ { "creatorType": "author", "firstName": "Andrew", "lastName": "Abbott" } ], "abstractNote": "", "publicationTitle": "Historical Methods: A Journal of Quantitative and Interdisciplinary History", "publisher": "", "place": "", "date": "October 1, 1983", "volume": "16", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "129-147", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/01615440.1983.10594107", "citationKey": "abbottSequencesSocialEvents1983", "url": "http://dx.doi.org/10.1080/01615440.1983.10594107", "accessDate": "2014-09-08T19:14:07Z", "PMID": "", "PMCID": "", "ISSN": "0161-5440", "archive": "", "archiveLocation": "", "shortTitle": "Sequences of Social Events", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-09-08T19:14:07Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "65SNA7N4", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/65SNA7N4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/65SNA7N4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Vinkenburg and Weber", "parsedDate": "2012-06", "numChildren": 2 }, "data": { "key": "65SNA7N4", "version": 196, "itemType": "journalArticle", "title": "Managerial career patterns: A review of the empirical evidence", "creators": [ { "creatorType": "author", "firstName": "Claartje J.", "lastName": "Vinkenburg" }, { "creatorType": "author", "firstName": "Torsten", "lastName": "Weber" } ], "abstractNote": "Despite the ubiquitous presence of the term “career patterns” in the discourse about careers, the existing empirical evidence on (managerial) career patterns is rather limited. From this literature review of 33 published empirical studies of managerial and similar professional career patterns found in electronic bibliographic databases, it is clear that upward mobility is still the norm, even when contrasting traditional to “new” careers. We argue that the nature and number of unique career patterns identified is strongly influenced by where and when the data were collected (i.e. empirical access), and how career patterns are measured. Our review further shows organizations clearly still act as containing social structures for the patterning of managerial careers, and that contemporary managerial careers, despite some evidence of increasing inter-organizational mobility, have new boundaries which induce linearity. We provide insights for further conceptualization of managerial career patterns and for advancing methodological approaches, including the use of optimal matching analysis and narratives. By expanding the scope of career pattern dimensions beyond time and direction, this review provides ground for further research on managerial career patterns.", "publicationTitle": "Journal of Vocational Behavior", "publisher": "", "place": "", "date": "June 2012", "volume": "80", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "592-607", "series": "Career Adaptability", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Journal of Vocational Behavior", "DOI": "10.1016/j.jvb.2012.02.001", "citationKey": "vinkenburgManagerialCareerPatterns2012", "url": "http://www.sciencedirect.com/science/article/pii/S0001879112000188", "accessDate": "2014-09-06T15:31:06Z", "PMID": "", "PMCID": "", "ISSN": "0001-8791", "archive": "", "archiveLocation": "", "shortTitle": "Managerial career patterns", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Career patterns", "type": 1 }, { "tag": "Empirical access", "type": 1 }, { "tag": "Literature review", "type": 1 }, { "tag": "Managerial careers", "type": 1 }, { "tag": "Optimal matching analysis", "type": 1 }, { "tag": "Pattern dimensions", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-09-06T15:31:06Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "WCFMSBPH", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/WCFMSBPH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/WCFMSBPH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Griffin", "parsedDate": "1993-03-01", "numChildren": 1 }, "data": { "key": "WCFMSBPH", "version": 196, "itemType": "journalArticle", "title": "Narrative, Event-Structure Analysis, and Causal Interpretation in Historical Sociology", "creators": [ { "creatorType": "author", "firstName": "Larry J.", "lastName": "Griffin" } ], "abstractNote": "Recent developments in historical sociology emphasize the centrality of temporality to analysis and explanation. Narrative uses temporal order to organize information about events and to foster their understanding but is insufficiently systematic to substitute for sociological explanation. This article illustrates a new interpretative heuristic for the computer- assisted analysis of qualitative narrative sequences, \"event-structure analysis,\"that infuses narrative with greater rigor and explicitness. Through the analysis of a lynching that took place in Mississippi in 1930, this article shows how event-structure analysis can be used to build replicable and generalizable causal interpretations of events.", "publicationTitle": "American Journal of Sociology", "publisher": "", "place": "", "date": "March 1, 1993", "volume": "98", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "1094-1133", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "American Journal of Sociology", "DOI": "", "citationKey": "griffinNarrativeEventStructureAnalysis1993", "url": "http://www.jstor.org/stable/2781584", "accessDate": "2014-09-06T15:29:59Z", "PMID": "", "PMCID": "", "ISSN": "0002-9602", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "JSTOR", "callNumber": "", "rights": "Copyright © 1993 The University of Chicago Press", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-09-06T15:29:59Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "5T2IWRBR", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/5T2IWRBR", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/5T2IWRBR", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Ven and Poole", "parsedDate": "2005-09-01", "numChildren": 2 }, "data": { "key": "5T2IWRBR", "version": 196, "itemType": "journalArticle", "title": "Alternative Approaches for Studying Organizational Change", "creators": [ { "creatorType": "author", "firstName": "Andrew H. Van de", "lastName": "Ven" }, { "creatorType": "author", "firstName": "Marshall Scott", "lastName": "Poole" } ], "abstractNote": "Scholars hold different views about whether organizations consist of things or processes and about variance or process methods for conducting research. By combining these two dimensions, we develop a typology of four approaches for studying organizational change. Although the four approaches may be viewed as opposing or competing views, we see them as being complementary. Each approach focuses on different questions and provides a different — but partial — understanding of organizational change. We argue that coordinating the pluralistic insights from the four approaches provides a richer understanding of organization change than any one approach provides by itself.", "publicationTitle": "Organization Studies", "publisher": "", "place": "", "date": "09/01/2005", "volume": "26", "issue": "9", "section": "", "partNumber": "", "partTitle": "", "pages": "1377-1404", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Organization Studies", "DOI": "10.1177/0170840605056907", "citationKey": "venAlternativeApproachesStudying2005", "url": "http://oss.sagepub.com.ezproxy.neu.edu/content/26/9/1377", "accessDate": "2014-09-06T15:27:06Z", "PMID": "", "PMCID": "", "ISSN": "0170-8406, 1741-3044", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "oss.sagepub.com.ezproxy.neu.edu", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "organization change", "type": 1 }, { "tag": "organization ontology", "type": 1 }, { "tag": "process theory", "type": 1 }, { "tag": "research methods", "type": 1 }, { "tag": "time", "type": 1 }, { "tag": "variance theory", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-09-06T15:27:06Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "RMZU2B4G", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/RMZU2B4G", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/RMZU2B4G", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Walk et al.", "numChildren": 2 }, "data": { "key": "RMZU2B4G", "version": 196, "itemType": "journalArticle", "title": "Discovering Beaten Paths in Collaborative Ontology-Engineering Projects using Markov Chains", "creators": [ { "creatorType": "author", "firstName": "Simon", "lastName": "Walk" }, { "creatorType": "author", "firstName": "Philipp", "lastName": "Singer" }, { "creatorType": "author", "firstName": "Markus", "lastName": "Strohmaier" }, { "creatorType": "author", "firstName": "Tania", "lastName": "Tudorache" }, { "creatorType": "author", "firstName": "Mark A.", "lastName": "Musen" }, { "creatorType": "author", "firstName": "Natalya F.", "lastName": "Noy" } ], "abstractNote": "Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the International Classification of Diseases, which is currently under active development by the World Health Organization contains nearly 50 , 000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding the way these different stakeholders collaborate will enable us to improve editing environments that support such collaborations. In this paper, we uncover how large ontology-engineering projects, such as the International Classification of Diseases in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users frequently change after specific given ones) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology-engineering projects and tools in the biomedical domain.", "publicationTitle": "Journal of Biomedical Informatics", "publisher": "", "place": "", "date": "", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Journal of Biomedical Informatics", "DOI": "10.1016/j.jbi.2014.06.004", "citationKey": "walkDiscoveringBeatenPaths", "url": "http://www.sciencedirect.com/science/article/pii/S1532046414001427", "accessDate": "2014-09-03T02:09:58Z", "PMID": "", "PMCID": "", "ISSN": "1532-0464", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Collaboration", "type": 1 }, { "tag": "Collaborative ontology engineering", "type": 1 }, { "tag": "Markov chains", "type": 1 }, { "tag": "Ontology-engineering tool", "type": 1 }, { "tag": "Sequential patterns", "type": 1 }, { "tag": "User interface", "type": 1 } ], "collections": [ "4Z5MPBC5" ], "relations": {}, "dateAdded": "2014-09-03T02:09:58Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "9VS5F9KS", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/9VS5F9KS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/9VS5F9KS", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Spaccapietra et al.", "parsedDate": "2008-04", "numChildren": 2 }, "data": { "key": "9VS5F9KS", "version": 196, "itemType": "journalArticle", "title": "A conceptual view on trajectories", "creators": [ { "creatorType": "author", "firstName": "Stefano", "lastName": "Spaccapietra" }, { "creatorType": "author", "firstName": "Christine", "lastName": "Parent" }, { "creatorType": "author", "firstName": "Maria Luisa", "lastName": "Damiani" }, { "creatorType": "author", "firstName": "Jose Antonio", "lastName": "de Macedo" }, { "creatorType": "author", "firstName": "Fabio", "lastName": "Porto" }, { "creatorType": "author", "firstName": "Christelle", "lastName": "Vangenot" } ], "abstractNote": "Analysis of trajectory data is the key to a growing number of applications aiming at global understanding and management of complex phenomena that involve moving objects (e.g. worldwide courier distribution, city traffic management, bird migration monitoring). Current DBMS support for such data is limited to the ability to store and query raw movement (i.e. the spatio-temporal position of an object). This paper explores how conceptual modeling could provide applications with direct support of trajectories (i.e. movement data that is structured into countable semantic units) as a first class concept. A specific concern is to allow enriching trajectories with semantic annotations allowing users to attach semantic data to specific parts of the trajectory. Building on a preliminary requirement analysis and an application example, the paper proposes two modeling approaches, one based on a design pattern, the other based on dedicated data types, and illustrates their differences in terms of implementation in an extended-relational context.", "publicationTitle": "Data & Knowledge Engineering", "publisher": "", "place": "", "date": "April 2008", "volume": "65", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "126-146", "series": "Including Special Section: Privacy Aspects of Data Mining Workshop (2006) - Five invited and extended papers", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Data & Knowledge Engineering", "DOI": "10.1016/j.datak.2007.10.008", "citationKey": "spaccapietraConceptualViewTrajectories2008", "url": "http://www.sciencedirect.com/science/article/pii/S0169023X07002078", "accessDate": "2014-09-03T01:49:36Z", "PMID": "", "PMCID": "", "ISSN": "0169-023X", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "GIS", "type": 1 }, { "tag": "Moving objects", "type": 1 }, { "tag": "Spatio-temporal databases", "type": 1 }, { "tag": "Trajectories", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-09-03T01:49:36Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "ZWJNCK2M", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/ZWJNCK2M", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/ZWJNCK2M", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Rivkin and Siggelkow", "parsedDate": "2007-07-01", "numChildren": 2 }, "data": { "key": "ZWJNCK2M", "version": 196, "itemType": "journalArticle", "title": "Patterned Interactions in Complex Systems: Implications for Exploration", "creators": [ { "creatorType": "author", "firstName": "Jan W.", "lastName": "Rivkin" }, { "creatorType": "author", "firstName": "Nicolaj", "lastName": "Siggelkow" } ], "abstractNote": "Scholars who view organizational, social, and technological systems as sets of interdependent decisions have increasingly used simulation models from the biological and physical sciences to examine system behavior. These models shed light on an enduring managerial question: How much exploration is necessary to discover a good configuration of decisions? The models suggest that, as interactions across decisions intensify and local optima proliferate, broader exploration is required. The models typically assume, however, that the interactions among decisions are distributed randomly. Contrary to this assumption, recent empirical studies of real organizational, social, and technological systems show that interactions among decisions are highly patterned. Patterns such as centralization, small-world connections, power-law distributions, hierarchy, and preferential attachment are common. We embed such patterns into an NK simulation model and obtain dramatic results: Holding fixed the total number of interactions among decisions, a shift in the pattern of interaction can alter the number of local optima by more than an order of magnitude. Thus, the long-run value of broader exploration is significantly greater in the face of some interaction patterns than in the face of others. We develop simple, intuitive rules of thumb that allow a decision maker to examine two interaction patterns and determine which warrants greater investment in broad exploration. We also find that, holding fixed the interaction pattern, an increase in the number of interactions raises the number of local optima regardless of the pattern. This validates prior comparative static results with respect to the number of interactions, but highlights an important implicit assumption in earlier work—that the underlying interaction pattern remains constant as interactions become more numerous.", "publicationTitle": "Management Science", "publisher": "", "place": "", "date": "July 1, 2007", "volume": "53", "issue": "7", "section": "", "partNumber": "", "partTitle": "", "pages": "1068-1085", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Management Science", "DOI": "10.1287/mnsc.1060.0626", "citationKey": "rivkinPatternedInteractionsComplex2007", "url": "http://pubsonline.informs.org.ezproxy.neu.edu/doi/abs/10.1287/mnsc.1060.0626", "accessDate": "2014-07-06T02:40:05Z", "PMID": "", "PMCID": "", "ISSN": "0025-1909", "archive": "", "archiveLocation": "", "shortTitle": "Patterned Interactions in Complex Systems", "language": "", "libraryCatalog": "pubsonline.informs.org.ezproxy.neu.edu (Atypon)", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "C5W4RJVA" ], "relations": {}, "dateAdded": "2014-07-06T02:40:05Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "K37UUM7W", "version": 196, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/K37UUM7W", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/K37UUM7W", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Sabherwal and Robey", "parsedDate": "1993-11-01", "numChildren": 1 }, "data": { "key": "K37UUM7W", "version": 196, "itemType": "journalArticle", "title": "An Empirical Taxonomy of Implementation Processes Based on Sequences of Events in Information System Development", "creators": [ { "creatorType": "author", "firstName": "Rajiv", "lastName": "Sabherwal" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Robey" } ], "abstractNote": "A widely accepted and usable taxonomy is a fundamental element in the development of a scientific body of knowledge. However, the creation of good empirical taxonomies of implementation processes is complicated by the need to consider the dynamics of the implementation process. This paper addresses this difficulty by using an optimal matching procedure to measure the pairwise distances among event sequences occurring in 53 computer-based information system (IS) implementation projects. Cluster analysis based on these inter-sequence distances is used to generate the empirical taxonomy of implementation processes. The resulting taxonomy includes six distinct archetypical processes. One of the process types is labeled textbook life cycle (type 4) due to its close resemblance to the detailed, rational approach commonly prescribed in IS textbooks. The logical minimalist process (type 1) follows some of the basic steps of the textbook approach, but is characterized by little project definition and infrequent assignment of personnel. Whereas both textbook life cycle and logical minimalist approaches use external vendors and consultants to some extent, external dependence is much greater in traditional off-the-shelf (type 2) and outsourced cooperative (type 5) processes. The traditional off-the-shelf process simply involves purchasing the system from an external vendor, with little system construction or assignment of personnel. In contrast, the outsourced cooperative process consists of joint system development by internally assigned personnel and external vendors. The remaining two process types -problem-driven minimalist (type 3) and in-house trial and error (type 6)-are both considerably influenced by performance problems. The problem-driven minimalist process is initiated by such problems, with little project definition, and results in a reassignment of organizational roles. The in-house trial-and-error process begins like textbook life cycle, with a clear project definition, but involves frequent system modifications to respond to the performance problems encountered during the project. The paper demonstrates how an empirical taxonomy that incorporates the dynamics of event sequences may be developed. The archetypes comprising the taxonomy are related to other implementation process models available in the literature. Some limitations of the study are acknowledged and its implications for future research and practice are discussed.", "publicationTitle": "Organization Science", "publisher": "", "place": "", "date": "November 1, 1993", "volume": "4", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "548-576", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Organization Science", "DOI": "", "citationKey": "sabherwalEmpiricalTaxonomyImplementation1993", "url": "http://www.jstor.org/stable/2635080", "accessDate": "2014-07-06T01:28:34Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "JSTOR", "callNumber": "", "rights": "Copyright © 1993 INFORMS", "extra": "", "tags": [], "collections": [ "C5W4RJVA" ], "relations": {}, "dateAdded": "2014-07-06T01:28:34Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "N8T6K2XM", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/N8T6K2XM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/N8T6K2XM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Froehle and White", "parsedDate": "2014-04-01", "numChildren": 2 }, "data": { "key": "N8T6K2XM", "version": 195, "itemType": "journalArticle", "title": "Interruption and Forgetting in Knowledge-Intensive Service Environments", "creators": [ { "creatorType": "author", "firstName": "Craig M.", "lastName": "Froehle" }, { "creatorType": "author", "firstName": "Denise L.", "lastName": "White" } ], "abstractNote": "An increasing barrier to productivity in knowledge-intensive work environments is interruptions. Interruptions stop the current job and can induce forgetting in the worker. The induced forgetting can cause re-work; to complete the interrupted job, additional effort and time is required to return to the same level of job-specific knowledge the worker had attained prior to the interruption. This research employs primary observational and process data gathered from a hospital radiology department as inputs into a discrete-event simulation model to estimate the effect of interruptions, forgetting, and re-work. To help mitigate the effects of interruption-induced re-work, we introduce and test the operational policy of sequestering, where some service resources are protected from interruptions. We find that sequestering can improve the overall productivity and cost performance of the system under certain circumstances. We conclude that research examining knowledge-intensive operations should explicitly consider interruptions and the forgetting rate of the system's human workers or models will overestimate the system's productivity and underestimate its costs.", "publicationTitle": "Production and Operations Management", "publisher": "", "place": "", "date": "April 1, 2014", "volume": "23", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "704-722", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Prod Oper Manag", "DOI": "10.1111/poms.12089", "citationKey": "froehleInterruptionForgettingKnowledgeIntensive2014", "url": "http://onlinelibrary.wiley.com.ezp-prod1.hul.harvard.edu/doi/10.1111/poms.12089/abstract", "accessDate": "2015-09-01T17:04:05Z", "PMID": "", "PMCID": "", "ISSN": "1937-5956", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Wiley Online Library", "callNumber": "", "rights": "© 2013 Production and Operations Management Society", "extra": "", "tags": [ { "tag": "health care", "type": 1 }, { "tag": "interruptions", "type": 1 }, { "tag": "services", "type": 1 }, { "tag": "simulation", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2015-09-01T17:04:05Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "N3IRNA26", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/N3IRNA26", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/N3IRNA26", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Pentland", "parsedDate": "2013-06", "numChildren": 1 }, "data": { "key": "N3IRNA26", "version": 195, "itemType": "journalArticle", "title": "Desperately Seeking Structures: Grammars of Action in Information Systems Research", "creators": [ { "creatorType": "author", "firstName": "Brian T.", "lastName": "Pentland" } ], "abstractNote": "Research grounded in a social science tradition tends to focus on people, while research grounded in an engineering tradition tends to focus on artifacts. However, as people and artifacts become increasingly intertwined in digitized processes and practices, these traditional disciplinary divisions sometimes seem a little outdated. So in this essay, I advocate an approach to research on information systems that focuses on actions, rather than people or artifacts. In particular, I examine the possibility of treating patterns of action as the object of inquiry. Grammatical models can be used to represent the space of possible action patterns in a given domain, and can be used to compare, and analyze the structural properties of action patterns. If so desired, these patterns can be tied back to traditional factors related to people (such as culture, habit, or learning?) or technology (such as features, constraints, or affordances?).", "publicationTitle": "SIGMIS Database", "publisher": "", "place": "", "date": "June 2013", "volume": "44", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "7–18", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1145/2488968.2488970", "citationKey": "pentlandDesperatelySeekingStructures2013", "url": "http://doi.acm.org/10.1145/2488968.2488970", "accessDate": "2015-09-01T17:57:28Z", "PMID": "", "PMCID": "", "ISSN": "0095-0033", "archive": "", "archiveLocation": "", "shortTitle": "Desperately Seeking Structures", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "grammars of action", "type": 1 }, { "tag": "information systems research.", "type": 1 }, { "tag": "networks of action", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2015-09-01T17:57:28Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "EBZD9BAJ", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/EBZD9BAJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/EBZD9BAJ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Leung", "parsedDate": "2014-02-01", "numChildren": 2 }, "data": { "key": "EBZD9BAJ", "version": 195, "itemType": "journalArticle", "title": "Dilettante or Renaissance Person? How the Order of Job Experiences Affects Hiring in an External Labor Market", "creators": [ { "creatorType": "author", "firstName": "Ming D.", "lastName": "Leung" } ], "abstractNote": "Social actors who move across categories are typically disadvantaged relative to their more focused peers. Yet candidates who compile experiences across disparate areas can either be appreciated as renaissance individuals or penalized as dilettantes. Extant literature has focused on the comparison between single versus multiple category members and on skill assessment, hindering its applicability. To discriminate between more versus less successful category spanners, I suggest that the order of accumulated experiences matters, because it serves as an indicator of commitment. I propose the concept of erraticism and predict that employers will prefer candidates who demonstrate some erraticism, by moving incrementally between similar jobs, over candidates who do not move and also over those with highly erratic job histories. Furthermore, I suggest this relationship holds for more complex jobs, less experienced freelancers, and is attenuated through working together. These issues are particularly salient given the rise of external labor markets where careers are increasingly marked by moves across traditional boundaries. I test and find support for these hypotheses with data from an online crowd-sourced labor market for freelancing services, Elance.com. I discuss how virtual mediated labor markets may alter hiring processes.", "publicationTitle": "American Sociological Review", "publisher": "", "place": "", "date": "2014-02-01", "volume": "79", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "136-158", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "American Sociological Review", "DOI": "10.1177/0003122413518638", "citationKey": "leungDilettanteRenaissancePerson2014", "url": "http://asr.sagepub.com/content/79/1/136", "accessDate": "2015-04-03T21:35:42Z", "PMID": "", "PMCID": "", "ISSN": "0003-1224, 1939-8271", "archive": "", "archiveLocation": "", "shortTitle": "Dilettante or Renaissance Person?", "language": "en", "libraryCatalog": "asr.sagepub.com", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "categories", "type": 1 }, { "tag": "commitment", "type": 1 }, { "tag": "freelancing", "type": 1 }, { "tag": "online labor market", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2015-04-03T21:35:42Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "BE276WMC", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/BE276WMC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/BE276WMC", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Freire et al.", "parsedDate": "2008-05", "numChildren": 1 }, "data": { "key": "BE276WMC", "version": 195, "itemType": "journalArticle", "title": "Provenance for Computational Tasks: A Survey", "creators": [ { "creatorType": "author", "firstName": "J.", "lastName": "Freire" }, { "creatorType": "author", "firstName": "D.", "lastName": "Koop" }, { "creatorType": "author", "firstName": "E.", "lastName": "Santos" }, { "creatorType": "author", "firstName": "C.T.", "lastName": "Silva" } ], "abstractNote": "The problem of systematically capturing and managing provenance for computational tasks has recently received significant attention because of its relevance to a wide range of domains and applications. The authors give an overview of important concepts related to provenance management, so that potential users can make informed decisions when selecting or designing a provenance solution.", "publicationTitle": "Computing in Science Engineering", "publisher": "", "place": "", "date": "May 2008", "volume": "10", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "11-21", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/MCSE.2008.79", "citationKey": "freireProvenanceComputationalTasks2008", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1521-9615", "archive": "", "archiveLocation": "", "shortTitle": "Provenance for Computational Tasks", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Computational modeling", "type": 1 }, { "tag": "Computed tomography", "type": 1 }, { "tag": "Data visualization", "type": 1 }, { "tag": "Dictionaries", "type": 1 }, { "tag": "History", "type": 1 }, { "tag": "Information analysis", "type": 1 }, { "tag": "Laboratories", "type": 1 }, { "tag": "Production", "type": 1 }, { "tag": "Reproducibility of results", "type": 1 }, { "tag": "Software tools", "type": 1 }, { "tag": "VisTrails", "type": 1 }, { "tag": "computational tasks provenance", "type": 1 }, { "tag": "data handling", "type": 1 }, { "tag": "provenance", "type": 1 }, { "tag": "provenance management", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-12-05T16:50:43Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "JNSSP8IU", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/JNSSP8IU", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/JNSSP8IU", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Moreau et al.", "parsedDate": "2008-04", "numChildren": 1 }, "data": { "key": "JNSSP8IU", "version": 195, "itemType": "journalArticle", "title": "The Provenance of Electronic Data", "creators": [ { "creatorType": "author", "firstName": "Luc", "lastName": "Moreau" }, { "creatorType": "author", "firstName": "Paul", "lastName": "Groth" }, { "creatorType": "author", "firstName": "Simon", "lastName": "Miles" }, { "creatorType": "author", "firstName": "Javier", "lastName": "Vazquez-Salceda" }, { "creatorType": "author", "firstName": "John", "lastName": "Ibbotson" }, { "creatorType": "author", "firstName": "Sheng", "lastName": "Jiang" }, { "creatorType": "author", "firstName": "Steve", "lastName": "Munroe" }, { "creatorType": "author", "firstName": "Omer", "lastName": "Rana" }, { "creatorType": "author", "firstName": "Andreas", "lastName": "Schreiber" }, { "creatorType": "author", "firstName": "Victor", "lastName": "Tan" }, { "creatorType": "author", "firstName": "Laszlo", "lastName": "Varga" } ], "abstractNote": "It would include details of the processes that produced electronic data as far back as the beginning of time or at least the epoch of provenance awareness.", "publicationTitle": "Commun. ACM", "publisher": "", "place": "", "date": "April 2008", "volume": "51", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "52–58", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1145/1330311.1330323", "citationKey": "moreauProvenanceElectronicData2008", "url": "http://doi.acm.org/10.1145/1330311.1330323", "accessDate": "2014-12-05T16:50:11Z", "PMID": "", "PMCID": "", "ISSN": "0001-0782", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-12-05T16:50:11Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "N7KN2PW7", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/N7KN2PW7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/N7KN2PW7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Macko et al.", "parsedDate": "2013", "numChildren": 1 }, "data": { "key": "N7KN2PW7", "version": 195, "itemType": "conferencePaper", "title": "Local Clustering in Provenance Graphs", "creators": [ { "creatorType": "author", "firstName": "Peter", "lastName": "Macko" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Margo" }, { "creatorType": "author", "firstName": "Margo", "lastName": "Seltzer" } ], "abstractNote": "Systems that capture and store data provenance, the record of how an object has arrived at its current state, accumulate historical metadata over time, forming a large graph. Local clustering in these graphs, in which we start with a seed vertex and grow a cluster around it, is of paramount importance because it supports critical provenance applications such as identifying semantically meaningful tasks in an object's history. However, generic graph clustering algorithms are not effective at these tasks. We identify three key properties of provenance graphs and exploit them to justify two new centrality metrics we developed for use in performing local clustering on provenance graphs.", "proceedingsTitle": "Proceedings of the 22Nd ACM International Conference on Conference on Information & Knowledge Management", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2013", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "835–840", "series": "CIKM '13", "seriesNumber": "", "DOI": "10.1145/2505515.2505624", "ISBN": "978-1-4503-2263-8", "citationKey": "mackoLocalClusteringProvenance2013", "url": "http://doi.acm.org/10.1145/2505515.2505624", "accessDate": "2014-11-01T20:43:24Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "centrality", "type": 1 }, { "tag": "lineage query", "type": 1 }, { "tag": "local clustering", "type": 1 }, { "tag": "provenance", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-11-01T20:43:24Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "Z5MH7CB6", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/Z5MH7CB6", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/Z5MH7CB6", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Han et al.", "parsedDate": "2007-08-01", "numChildren": 1 }, "data": { "key": "Z5MH7CB6", "version": 195, "itemType": "journalArticle", "title": "Frequent pattern mining: current status and future directions", "creators": [ { "creatorType": "author", "firstName": "Jiawei", "lastName": "Han" }, { "creatorType": "author", "firstName": "Hong", "lastName": "Cheng" }, { "creatorType": "author", "firstName": "Dong", "lastName": "Xin" }, { "creatorType": "author", "firstName": "Xifeng", "lastName": "Yan" } ], "abstractNote": "Frequent pattern mining has been a focused theme in data mining research for over a decade. Abundant literature has been dedicated to this research and tremendous progress has been made, ranging from efficient and scalable algorithms for frequent itemset mining in transaction databases to numerous research frontiers, such as sequential pattern mining, structured pattern mining, correlation mining, associative classification, and frequent pattern-based clustering, as well as their broad applications. In this article, we provide a brief overview of the current status of frequent pattern mining and discuss a few promising research directions. We believe that frequent pattern mining research has substantially broadened the scope of data analysis and will have deep impact on data mining methodologies and applications in the long run. However, there are still some challenging research issues that need to be solved before frequent pattern mining can claim a cornerstone approach in data mining applications.", "publicationTitle": "Data Mining and Knowledge Discovery", "publisher": "", "place": "", "date": "2007/08/01", "volume": "15", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "55-86", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Data Min Knowl Disc", "DOI": "10.1007/s10618-006-0059-1", "citationKey": "hanFrequentPatternMining2007", "url": "http://link.springer.com.ezproxy.neu.edu/article/10.1007/s10618-006-0059-1", "accessDate": "2014-10-16T13:03:30Z", "PMID": "", "PMCID": "", "ISSN": "1384-5810, 1573-756X", "archive": "", "archiveLocation": "", "shortTitle": "Frequent pattern mining", "language": "en", "libraryCatalog": "link.springer.com.ezproxy.neu.edu", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Applications", "type": 1 }, { "tag": "Artificial Intelligence (incl. Robotics)", "type": 1 }, { "tag": "Association rules", "type": 1 }, { "tag": "Computing Methodologies", "type": 1 }, { "tag": "Data Mining and Knowledge Discovery", "type": 1 }, { "tag": "Data mining research", "type": 1 }, { "tag": "Frequent pattern mining", "type": 1 }, { "tag": "Information Storage and Retrieval", "type": 1 }, { "tag": "Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences", "type": 1 }, { "tag": "Statistics, general", "type": 1 } ], "collections": [ "HMW6ZPIP" ], "relations": {}, "dateAdded": "2014-10-16T13:03:30Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "PUDIMF9E", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/PUDIMF9E", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/PUDIMF9E", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Kuramochi and Karypis", "parsedDate": "2001", "numChildren": 1 }, "data": { "key": "PUDIMF9E", "version": 195, "itemType": "conferencePaper", "title": "Frequent subgraph discovery", "creators": [ { "creatorType": "author", "firstName": "M.", "lastName": "Kuramochi" }, { "creatorType": "author", "firstName": "G.", "lastName": "Karypis" } ], "abstractNote": "As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the requirement of these domains. An alternate way of modeling the objects in these data sets is to use graphs. Within that model, the problem of finding frequent patterns becomes that of discovering subgraphs that occur frequently over the entire set of graphs.The authors present a computationally efficient algorithm for finding all frequent subgraphs in large graph databases. We evaluated the performance of the algorithm by experiments with synthetic datasets as well as a chemical compound dataset. The empirical results show that our algorithm scales linearly with the number of input transactions and it is able to discover frequent subgraphs from a set of graph transactions reasonably fast, even though we have to deal with computationally hard problems such as canonical labeling of graphs and subgraph isomorphism which are not necessary for traditional frequent itemset discovery", "proceedingsTitle": "ICDM 2001, Proceedings IEEE International Conference on Data Mining, 2001", "conferenceName": "ICDM 2001, Proceedings IEEE International Conference on Data Mining, 2001", "publisher": "", "place": "", "date": "2001", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "313-320", "series": "", "seriesNumber": "", "DOI": "10.1109/ICDM.2001.989534", "ISBN": "", "citationKey": "kuramochiFrequentSubgraphDiscovery2001", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Association rules", "type": 1 }, { "tag": "Chemical compounds", "type": 1 }, { "tag": "Computer science", "type": 1 }, { "tag": "Computer vision", "type": 1 }, { "tag": "Image databases", "type": 1 }, { "tag": "Image recognition", "type": 1 }, { "tag": "Itemsets", "type": 1 }, { "tag": "Labeling", "type": 1 }, { "tag": "Transaction databases", "type": 1 }, { "tag": "canonical labeling", "type": 1 }, { "tag": "chemical compound dataset", "type": 1 }, { "tag": "chemistry computing", "type": 1 }, { "tag": "computational complexity", "type": 1 }, { "tag": "computationally efficient algorithm", "type": 1 }, { "tag": "computationally hard problems", "type": 1 }, { "tag": "data mining", "type": 1 }, { "tag": "data mining techniques", "type": 1 }, { "tag": "data sets", "type": 1 }, { "tag": "frequent itemsets", "type": 1 }, { "tag": "frequent subgraph discovery", "type": 1 }, { "tag": "graph transactions", "type": 1 }, { "tag": "input transactions", "type": 1 }, { "tag": "large graph databases", "type": 1 }, { "tag": "object modeling", "type": 1 }, { "tag": "subgraph discovery", "type": 1 }, { "tag": "subgraph isomorphism", "type": 1 }, { "tag": "synthetic datasets", "type": 1 }, { "tag": "very large databases", "type": 1 }, { "tag": "visual databases", "type": 1 } ], "collections": [ "HMW6ZPIP" ], "relations": {}, "dateAdded": "2014-10-16T13:02:29Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "JIJJTTNQ", "version": 195, "library": { "type": "group", "id": 267682, "name": "Sociotechnical Trajectories", "links": { "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/267682/items/JIJJTTNQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sociotechnical_trajectories/items/JIJJTTNQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Srikant and Agrawal", "parsedDate": "1996-01-01", "numChildren": 0 }, "data": { "key": "JIJJTTNQ", "version": 195, "itemType": "bookSection", "title": "Mining sequential patterns: Generalizations and performance improvements", "creators": [ { "creatorType": "author", "firstName": "Ramakrishnan", "lastName": "Srikant" }, { "creatorType": "author", "firstName": "Rakesh", "lastName": "Agrawal" }, { "creatorType": "editor", "firstName": "Peter", "lastName": "Apers" }, { "creatorType": "editor", "firstName": "Mokrane", "lastName": "Bouzeghoub" }, { "creatorType": "editor", "firstName": "Georges", "lastName": "Gardarin" } ], "abstractNote": "The problem of mining sequential patterns was recently introduced in [3]. We are given a database of sequences, where each sequence is a list of transactions ordered by transaction-time, and each transaction is a set of items. The problem is to discover all sequential patterns with a user-specified minimum support, where the support of a pattern is the number of data-sequences that contain the pattern. An example of a sequential pattern is“5% of customers bought ‘Foundation’ and ‘Ringworld’ in one transaction, followed by ‘Second Foundation’ in a later transaction”. We generalize the problem as follows. First, we add time constraints that specify a minimum and/or maximum time period between adjacent elements in a pattern. Second, we relax the restriction that the items in an element of a sequential pattern must come from the same transaction, instead allowing the items to be present in a set of transactions whose transaction-times are within a user-specified time window. Third, given a user-defined taxonomy (is-a hierarchy) on items, we allow sequential patterns to include items across all levels of the taxonomy. We present GSP, a new algorithm that discovers these generalized sequential patterns. Empirical evaluation using synthetic and real-life data indicates that GSP is much faster than the AprioriAll algorithm presented in [3]. GSP scales linearly with the number of data-sequences, and has very good scale-up properties with respect to the average data-sequence size.", "bookTitle": "Advances in Database Technology — EDBT '96", "series": "Lecture Notes in Computer Science", "seriesNumber": "1057", "volume": "", "numberOfVolumes": "", "edition": "", "date": "1996/01/01", "publisher": "Springer Berlin Heidelberg", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "pages": "1-17", "ISBN": "978-3-540-61057-1 978-3-540-49943-5", "DOI": "", "citationKey": "srikantMiningSequentialPatterns1996", "url": "http://link.springer.com.ezproxy.neu.edu/chapter/10.1007/BFb0014140", "accessDate": "2014-10-16T13:01:04Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Mining sequential patterns", "language": "en", "libraryCatalog": "link.springer.com.ezproxy.neu.edu", "callNumber": "", "rights": "©1996 Springer-Verlag", "extra": "", "tags": [ { "tag": "Artificial Intelligence (incl. Robotics)", "type": 1 }, { "tag": "Business Information Systems", "type": 1 }, { "tag": "Data Storage Representation", "type": 1 }, { "tag": "Database Management", "type": 1 }, { "tag": "Information Storage and Retrieval", "type": 1 }, { "tag": "Information Systems Applications (incl.Internet)", "type": 1 } ], "collections": [ "HMW6ZPIP" ], "relations": {}, "dateAdded": "2014-10-16T13:01:04Z", "dateModified": "2026-02-16T15:36:26Z" } } ]